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Data Mining Process Flow Chart Dr4ward Analysis Explaining The Past And Predicting Flowchart

Data Mining Process Flow Chart Dr4ward Analysis Explaining The Past And Predicting Flowchart Of Phases Model

By Olivia Giles at November 08 2018 19:42:10

The key to process improvement is to clearly communicate process definitions (the way in which the company wants the processes to be carried out) to the people in charge of their execution (through training, process descriptions publication, etc...). The better process participants understand the process definition, the higher the probability that the process is carried out according to it. They are better implemented through obtaining buy-in than through imposing directives.

Rice Huskers: These huskers remove the husk (outer covering) from the paddy rice during the processing. Paddy Separators: It makes the brown rice more efficient. Plano-Shifters: This makes the rice more uniform and give rice proper size and grading with a high speed. Color Sorters: These color sorters give a proper color to the rice and define its shade. The basic structure and the process followed in the rice milling industries and rice milling plants include: 1. Quantity of Rice (In Abundance) ; 2. Pre - Cleaning ; 3. Steaming ; 4. Drying ; 5. Packaging ; 6. Grading and Sorting ; 7. Polishing ; 8. Removal of Husk

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Tables : When your data doesn't clearly show a trend, use a table. You may have this data in Excel, and can even link to the Excel file. Quotations : Quotes are very powerful when they come from authorities or well-known individuals. In a persuasive presentation, you can use testimonials from other customers, for example. Stories : Stories are powerful when they support your message. They can be personal, related to current events, examples from other customers, and so on. They can be full-blown situations, or simple examples. Collect stories as you hear them and keep them in a file for use later.

Knowledge workers carry out these processes by taking into account multiple inputs (generally a wide set of unstructured data and information) to perform difficult tasks and make complex decisions among multiple possible ways of doing the work, each one implying different levels of risk and possible benefits. They are dependent on individuals and it is not possible to automate them. One example of a knowledge process is "Marketing a new product". The same steps are followed each time a new product is launched (benchmarking competitors, deciding pricing strategy, planning promotion, etc...), but it is the experience, knowledge and intuition of the people that drive the process to success.

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